Modeling snow saltation: the effect of grain size and interparticle cohesion

DOI

This dataset includes the parallel application and the main results supporting the research article "Modeling snow saltation: the effect of grain size and interparticle cohesion" published at the Journal of Geophysical Research: Atmospheres. The code is a flow solver based on the Large Eddy Simulation (LES) technique coupled with a Lagrangian Stochastic Model (LSM). The interaction of snow particles with the bed is modeled with statistical and physically-based models for aerodynamic entrainment, rebound and splash, following the works of Groot Zwaaftink et al. (2014), Comola and Lehning (2017) and Sharma et al. (2018). This algorithm was also used by Sigmund et al. (2021) to model snow sublimation.

Identifier
DOI https://doi.org/10.16904/envidat.263
Metadata Access https://www.envidat.ch/api/action/package_show?id=c4543b3d-d898-4364-8194-bb56f2fe41f9
Provenance
Creator Daniela, Brito Melo, 0000-0003-1685-9197; Varun, Sharma,; Francesco, Comola, 0000-0002-3867-732X; Armin, Sigmund, 0000-0003-3587-1132; Michael, Lehning, 0000-0002-8442-0875
Publisher EnviDat
Publication Year 2021
Funding Reference Swiss National Science Foundation, 179130
Rights odc-odbl; ODbL with Database Contents License (DbCL)
OpenAccess true
Contact envidat(at)wsl.ch
Representation
Language English
Resource Type DataPaper
Version 1.0
Discipline Environmental Sciences
Spatial Coverage (5.197W, 45.730S, 8.712E, 47.154N); Switzerland